Triple

T21282779
Position Surface form Disambiguated ID Type / Status
Subject Barbican station E524568 entity
Predicate hasStationCode P1289 FINISHED
Object ZBB
ZBB is the National Rail station code assigned to Barbican railway station in London.
E1476849 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ZBB | Statement: [Barbican station, hasStationCode, ZBB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZBB
Context triple: [Barbican station, hasStationCode, ZBB]
  • A. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • B. ZBHH
    ZBHH is the ICAO airport code for Hohhot Baita International Airport, a major air transport hub serving Hohhot in Inner Mongolia, China.
  • C. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • D. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • E. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZBB
Triple: [Barbican station, hasStationCode, ZBB]
Generated description
ZBB is the National Rail station code assigned to Barbican railway station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZBB
Target entity description: ZBB is the National Rail station code assigned to Barbican railway station in London.
  • A. ZBA
    ZBA is the National Rail station code assigned to Bank Underground station in London.
  • B. ZBHH
    ZBHH is the ICAO airport code for Hohhot Baita International Airport, a major air transport hub serving Hohhot in Inner Mongolia, China.
  • C. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • D. BZ
    BZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Belize.
  • E. BZ
    BZ is the commonly used abbreviation for the Ministry of Foreign Affairs of the Netherlands, which is responsible for the country’s foreign policy and international relations.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099805915081909bd6ee33a5110747 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a099bd03e008190a86b07cd8af19371 completed May 17, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_6a099c523f648190bfa87700d749c193 completed May 17, 2026, 10:45 a.m.
Created at: April 16, 2026, 4:03 p.m.